Condition Monitoring Method for the Detection of Fault Graduality in Outer Race Bearing Based on Vibration-Current Fusion, Statistical Features and Neural Network

Condition Monitoring Method for the Detection of Fault Graduality in Outer Race Bearing Based on Vibration-Current Fusion, Statistical Features and Neural Network

Bearings are the elements that allow the rotatory movement in induction motors, and the fault occurrence in these elements is due to excessive working conditions. In induction motors, electrical erosion remains the most common phenomenon that damages bearings, leading to incipient faults that gradua...

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Bibliographic Details
Main Authors: Juan-Jose Saucedo-Dorantes, Israel Zamudio-Ramirez, Jonathan Cureno-Osornio, Roque Alfredo Osornio-Rios, Jose Alfonso Antonino-Daviu
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Applied Sciences
Subjects:
condition monitoring
fault severity
bearings
feature calculation
feature extraction
information fusion
Online Access:https://www.mdpi.com/2076-3417/11/17/8033

Internet

https://www.mdpi.com/2076-3417/11/17/8033

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